The present study aims to use atmospheric dispersion models and geographical information system (GIS) to make estimations of the trajectory of PM2.5 (particulate matter) discharged from specific generation sources, by grasping the atmospheric concentration within the Tokyo metropolitan area in Japan. It is expected that such estimation results should contribute to the risk assessment concerning the influences of PM2.5 on human health and ecosystem. Using ADMER in the first stage, estimations of the atmospheric concentration distribution of PM2.5 throughout the entire Tokyo metropolitan area from 2009 to 2014 were conducted. As a result, areas with high atmospheric concentration of PM2.5 focused in the same area each year, and it was revealed that the entire Tokyo and Saitama had high atmospheric concentrations. Additionally, as a result of setting Tokyo the detail estimation range, it was grasped that the atmospheric concentrations are high in Shinjuku ward and Tachikawa city in Tokyo. Based on the results in the first stage, using METI-LIS in the second stage, estimations of the trajectory of PM2.5 discharged from specific generation sources were conducted in Tachikawa city. As a result, it was made clear that PM2.5 had spread within 500 m of the specific generation sources, and the atmospheric concentrations were intensively high.
Part of the book: Risk Assessment
In Japan, the central government started the promotion of citizens’ health by self-supervision in 2000, and walking is recently recognized as the most popular sport for many generations. Based on this background, the present study aimed to design, develop, operate, and evaluate a walking support system, which takes into account the users’ circumstances (each user’s health conditions, needs, and preferences). The system was developed by integrating Web-GIS (geographic information systems) as a base system and social networking services (SNS) as well as a registration system of walking information into a single system. Additionally, the system was operated for 5 weeks in Chofu City in Tokyo Metropolis, Japan, and the total number of users was 73. Based on the results of the Web questionnaire survey, the usefulness of the system when selecting a walking course was high, and the further use of each function can be expected by the continuous operation of the system. From the results of access analysis of users’ log data, it is evident that the system has been used by two types of information terminals approximately in the same way, and that the entire system has been used according to the purpose of the present study, which is to effectively support the users’ walking.
Part of the book: Advances in Human and Machine Navigation Systems